Abstract: This paper presents a new net-reduction methodology to facilitate the analysis of large workflow models. We propose an enhanced algorithm based on reducible subnet identi...
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...
The problem of target localization involves estimating the position of a target from multiple and typically noisy measurements of the target position. It is well known that the re...
Adrian N. Bishop, Baris Fidan, Brian D. O. Anderso...
We describe a technique aimed at addressing longstanding problems for password reset: security and cost. In our approach, users are authenticated using their preferences. Experime...
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...